97 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mayo Clinic in FloridaUS4 papers
- Mayo Clinic in ArizonaUS3 papers
- WinnMedUS3 papers
- Arizona State UniversityUS2 papers
- Emory UniversityUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Academy of AthensGR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Corcoran College of Art and DesignUS1 paper
- Czech Academy of SciencesCZ1 paper
- European Organization for Nuclear ResearchCH1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
11 papers
AZT1D: A Real-World Dataset for Type 1 Diabetes
Saman Khamesian, Asiful Arefeen, Bithika M. Thompson +2
High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems…
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
Theodorus Dapamede, Aisha Urooj, Vedant Joshi +15
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk…
Evaluating The Performance of Using Large Language Models to Automate Summarization of CT Simulation Orders in Radiation Oncology
Meiyun Cao, Shaw Hu, Jason Sharp +10
Purpose: This study aims to use a large language model (LLM) to automate the generation of summaries from the CT simulation orders and evaluate its performance. Materials and Metho…
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
Xinrui He, Yikun Ban, Jiaru Zou +3
Missing data imputation is a critical challenge in various domains, such as healthcare and finance, where data completeness is vital for accurate analysis. Large language models (L…
Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images
Yuzhen Ding, Jason M. Holmes, Hongying Feng +8
In radiotherapy, 2D orthogonally projected kV images are used for patient alignment when 3D-on-board imaging(OBI) unavailable. But tumor visibility is constrained due to the projec…
The status and challenges for prostate SBRT treatments in United States proton therapy centers: An NRG Oncology practice survey
Jiajian Shen, Paige A. Taylor, Carlos E. Vargas +8
A survey was designed to inquire about the practice of proton SBRT treatment for prostate cancer. The survey was distributed to all 30 proton therapy centers in the United States t…
Mask-guided BERT for Few Shot Text Classification
Wenxiong Liao, Zhengliang Liu, Haixing Dai +11
Transformer-based language models have achieved significant success in various domains. However, the data-intensive nature of the transformer architecture requires much labeled dat…
Needs, trends, and advances in scintillators for radiographic imaging and tomography
Zhehui Wang, Christophe Dujardin, Matthew S. Freeman +17
Scintillators are important materials for radiographic imaging and tomography (RadIT), when ionizing radiations are used to reveal internal structures of materials. Since its inven…
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
Siyi Tang, Amara Tariq, Jared Dunnmon +5
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk…
Multi-facet Contextual Bandits: A Neural Network Perspective
Yikun Ban, Jingrui He, Curtiss B. Cook
Contextual multi-armed bandit has shown to be an effective tool in recommender systems. In this paper, we study a novel problem of multi-facet bandits involving a group of bandits,…
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet
Sara Ranjbar, Kyle W. Singleton, Lee Curtin +5
Whole brain extraction, also known as skull stripping, is a process in neuroimaging in which non-brain tissue such as skull, eyeballs, skin, etc. are removed from neuroimages. Skul…